Special issue on modelling complex environmental data

Abstract

This Collection includes a selection of papers presented at GRASPA 2023, the biennial conference of the Italian Research Group for Environmental Statistics GRASPA-SIS (Section of the Italian Statistical Society) and a European regional conference of the International Environmetrics Society (TIES). The conference endorses co-operation among statisticians, academics as well as practitioners from government and environmental agencies, promoting the development and the use of statistical methods in environmental sciences. Emphasis has been given to the statistical modelling of complex environmental data in space and time, motivated by contemporaneous environmental problems including but not limited to pollution, extreme events, epidemiological issues.